[R] Archive format

[Joe Gain]

Hi Georg,


On 08.04.2017 09:04, G.Maubach at gmx.de wrote:
> Hi Joe,
>
> I have read your question with great interest. I am a little bit astonished to read about your project. There is a big national institute in Germany called GESIS (https://de.wikipedia.org/wiki/GESIS_%E2%80%93_Leibniz-Institut_f%C3%BCr_Sozialwissenschaften) which does the same job you are trying to set-up since 1986 now. You could try to exchange ideas with them.

we've already had some contact with GESIS. I agree that it would be a 
good idea to communicate and cooperate more with GESIS-- although there 
are many interesting organisations, which are all doing their own thing 
and it's not always easy to do so.

We organised a confernce in Heidelberg, "The E-Science Tage", and I was 
at the GESIS presentation, which was very good.

> Your subject is very complex with regard to reproducible research. You might want to have a look at

> (1) https://cran.r-project.org/web/views/ReproducibleResearch.html
> (2) Gandrud, Christopher: Reproducible Research with R and R Studio (https://www.amazon.com/Reproducible-Research-Studio-Second-Chapman/dp/1498715370)

Thanks for the useful links. (There's a whole book about R and 
reproducible research!)

The general goal of the web platform is to increase the awareness of 
researchers in Research Data Management.

The topic _is_ very complicated and it's difficult to write a general 
approach, especially, when you consider the different research 
disciplines, etc. nevertheless, that is what we are trying to do. Where 
it's possible and when the information becomes to specific we will 
include links to further resources (such as those, you have recommended 
above). Also, the project is to some extent dependent on the feedback of 
users, especially when they are able to provide us with information, 
which improves the content of the web platform.


> Kind regards
>
> Georg
>

Thanks for taking the time to reply to my question.

All the best,
Joe

>> Gesendet: Mittwoch, 29. März 2017 um 10:44 Uhr
>> Von: "Joe Gain" <joe.gain at uni-konstanz.de>
>> An: R-help at r-project.org
>> Cc: bwfdm-info at lists.kit.edu
>> Betreff: [R] Archive format
>>
>> Hello,
>>
>> we are collecting information on the subject of research data management
>> in German on the webplatform:
>>
>> www.forschungsdaten.info
>>
>> One of the topics, which we are writing about, is how to *archive* data.
>> Unfortunately, none of us in the project is an expert with respect to R
>> and so I would like to ask the list, what they recommend? A related
>> question is to do with the sharing of data. We have already asked some
>> academics, who have basically replied that they don't really know other
>> than to strongly recommend a plain text format.
>>
>> We would also like to know, if members of the list recommend converting
>> formats from commercial software such as S-Plus, Terr, SPSS etc. to an
>> R-compatible format for long term archivation? Are there any general
>> rules and best practices, when it comes to archiving (and sharing)
>> statistical data and statistical programs?
>>
>> Any comments would be much appreciated!
>> Joe
>>
>> --
>> B 1003
>> Kommunikations-, Informations-, Medienzentrum (KIM)
>> Universitaet Konstanz
>>
>> t: ++49-7531-883234
>> e: joe.gain at uni-konstanz.de
>>
>> ______________________________________________
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>> and provide commented, minimal, self-contained, reproducible code.
>>


-- 
B 1003
Kommunikations-, Informations-, Medienzentrum (KIM)
Universitaet Konstanz

t: ++49-7531-883234
e: joe.gain at uni-konstanz.de